Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

241 lines
7.7 KiB

/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Nathan, liujun@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "test_precomp.hpp"
#include "cvconfig.h"
#include "opencv2/ts/ocl_test.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
PARAM_TEST_CASE(AccumulateBase, std::pair<MatDepth, MatDepth>, Channels, bool)
{
int sdepth, ddepth, channels;
bool useRoi;
double alpha;
TEST_DECLARE_INPUT_PARAMETER(src);
TEST_DECLARE_INPUT_PARAMETER(mask);
TEST_DECLARE_INPUT_PARAMETER(src2);
TEST_DECLARE_OUTPUT_PARAMETER(dst);
virtual void SetUp()
{
const std::pair<MatDepth, MatDepth> depths = GET_PARAM(0);
sdepth = depths.first, ddepth = depths.second;
channels = GET_PARAM(1);
useRoi = GET_PARAM(2);
}
void random_roi()
{
const int stype = CV_MAKE_TYPE(sdepth, channels),
dtype = CV_MAKE_TYPE(ddepth, channels);
Size roiSize = randomSize(1, 10);
Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(src, src_roi, roiSize, srcBorder, stype, -MAX_VALUE, MAX_VALUE);
Border maskBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, -MAX_VALUE, MAX_VALUE);
threshold(mask, mask, 80, 255, THRESH_BINARY);
Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(src2, src2_roi, roiSize, src2Border, stype, -MAX_VALUE, MAX_VALUE);
Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
randomSubMat(dst, dst_roi, roiSize, dstBorder, dtype, -MAX_VALUE, MAX_VALUE);
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_INPUT_PARAMETER(mask);
UMAT_UPLOAD_INPUT_PARAMETER(src2);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
alpha = randomDouble(-5, 5);
}
};
/////////////////////////////////// Accumulate ///////////////////////////////////
typedef AccumulateBase Accumulate;
OCL_TEST_P(Accumulate, Mat)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulate(src_roi, dst_roi));
OCL_ON(cv::accumulate(usrc_roi, udst_roi));
OCL_EXPECT_MATS_NEAR(dst, 1e-6);
}
}
OCL_TEST_P(Accumulate, Mask)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulate(src_roi, dst_roi, mask_roi));
OCL_ON(cv::accumulate(usrc_roi, udst_roi, umask_roi));
OCL_EXPECT_MATS_NEAR(dst, 1e-6);
}
}
/////////////////////////////////// AccumulateSquare ///////////////////////////////////
typedef AccumulateBase AccumulateSquare;
OCL_TEST_P(AccumulateSquare, Mat)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulateSquare(src_roi, dst_roi));
OCL_ON(cv::accumulateSquare(usrc_roi, udst_roi));
OCL_EXPECT_MATS_NEAR(dst, 1e-2);
}
}
OCL_TEST_P(AccumulateSquare, Mask)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulateSquare(src_roi, dst_roi, mask_roi));
OCL_ON(cv::accumulateSquare(usrc_roi, udst_roi, umask_roi));
OCL_EXPECT_MATS_NEAR(dst, 1e-2);
}
}
/////////////////////////////////// AccumulateProduct ///////////////////////////////////
typedef AccumulateBase AccumulateProduct;
OCL_TEST_P(AccumulateProduct, Mat)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulateProduct(src_roi, src2_roi, dst_roi));
OCL_ON(cv::accumulateProduct(usrc_roi, usrc2_roi, udst_roi));
OCL_EXPECT_MATS_NEAR(dst, 1e-2);
}
}
OCL_TEST_P(AccumulateProduct, Mask)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulateProduct(src_roi, src2_roi, dst_roi, mask_roi));
OCL_ON(cv::accumulateProduct(usrc_roi, usrc2_roi, udst_roi, umask_roi));
OCL_EXPECT_MATS_NEAR(dst, 1e-2);
}
}
/////////////////////////////////// AccumulateWeighted ///////////////////////////////////
typedef AccumulateBase AccumulateWeighted;
OCL_TEST_P(AccumulateWeighted, Mat)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulateWeighted(src_roi, dst_roi, alpha));
OCL_ON(cv::accumulateWeighted(usrc_roi, udst_roi, alpha));
OCL_EXPECT_MATS_NEAR(dst, 1e-2);
}
}
OCL_TEST_P(AccumulateWeighted, Mask)
{
for (int i = 0; i < test_loop_times; ++i)
{
random_roi();
OCL_OFF(cv::accumulateWeighted(src_roi, dst_roi, alpha));
OCL_ON(cv::accumulateWeighted(usrc_roi, udst_roi, alpha));
OCL_EXPECT_MATS_NEAR(dst, 1e-2);
}
}
/////////////////////////////////// Instantiation ///////////////////////////////////
#define OCL_DEPTH_ALL_COMBINATIONS \
testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32F), \
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_32F), \
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F), \
std::make_pair<MatDepth, MatDepth>(CV_8U, CV_64F), \
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_64F), \
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_64F), \
std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F))
OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Accumulate, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateSquare, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateProduct, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
OCL_INSTANTIATE_TEST_CASE_P(ImgProc, AccumulateWeighted, Combine(OCL_DEPTH_ALL_COMBINATIONS, OCL_ALL_CHANNELS, Bool()));
} } // namespace cvtest::ocl
#endif